Quantification of central metabolic fluxes in the facultative methylotroph methylobacterium extorquens AM1 using 13C-label tracing and mass spectrometry
- PMID: 12910542
- DOI: 10.1002/bit.10745
Quantification of central metabolic fluxes in the facultative methylotroph methylobacterium extorquens AM1 using 13C-label tracing and mass spectrometry
Abstract
The metabolic fluxes of central carbon metabolism were measured in chemostat-grown cultures of Methylobacterium extorquens AM1 with methanol as the sole organic carbon and energy source and growth-limiting substrate. Label tracing experiments were carried out using 70% (13)C-methanol in the feed, and the steady-state mass isotopomer distributions of amino acids derived from total cell protein were measured by gas chromatography coupled to mass spectrometry. Fluxes were calculated from the isotopomer distribution data using an isotopomer balance model and evolutionary error minimization algorithm. The combination of labeled methanol with unlabeled CO(2), which enters central metabolism in two different reactions, provided the discriminatory power necessary to allow quantification of the unknown fluxes within a reasonably small confidence interval. In wild-type M. extorquens AM1, no measurable flux was detected through pyruvate dehydrogenase or malic enzyme, and very little flux through alpha-ketoglutarate dehydrogenase (1.4% of total carbon). In contrast, the alpha-ketoglutarate dehydrogenase flux was 25.5% of total carbon in the regulatory mutant strain phaR, while the pyruvate dehydrogenase and malic enzyme fluxes remained insignificant. The success of this technique with growth on C(1) compounds suggests that it can be applied to help characterize the effects of other regulatory mutations, and serve as a diagnostic tool in the metabolic engineering of methylotrophic bacteria.
Copyright 2003 Wiley Periodicals, Inc. Biotechnol Bioeng 84: 45-55, 2003.
Similar articles
-
Metabolite profiling analysis of Methylobacterium extorquens AM1 by comprehensive two-dimensional gas chromatography coupled with time-of-flight mass spectrometry.Biotechnol Bioeng. 2008 Mar 1;99(4):929-40. doi: 10.1002/bit.21652. Biotechnol Bioeng. 2008. PMID: 17879968
-
Comprehensive discovery of 13C labeled metabolites in the bacterium Methylobacterium extorquens AM1 using gas chromatography-mass spectrometry.J Chromatogr A. 2013 Nov 22;1317:175-85. doi: 10.1016/j.chroma.2013.08.059. Epub 2013 Aug 21. J Chromatogr A. 2013. PMID: 24007683
-
Stoichiometric model for evaluating the metabolic capabilities of the facultative methylotroph Methylobacterium extorquens AM1, with application to reconstruction of C(3) and C(4) metabolism.Biotechnol Bioeng. 2002 May 5;78(3):296-312. doi: 10.1002/bit.10200. Biotechnol Bioeng. 2002. PMID: 11920446
-
Advances in analysis of microbial metabolic fluxes via (13)C isotopic labeling.Mass Spectrom Rev. 2009 Mar-Apr;28(2):362-75. doi: 10.1002/mas.20191. Mass Spectrom Rev. 2009. PMID: 19025966 Review.
-
Methylobacterium extorquens: methylotrophy and biotechnological applications.Appl Microbiol Biotechnol. 2015 Jan;99(2):517-34. doi: 10.1007/s00253-014-6240-3. Epub 2014 Nov 30. Appl Microbiol Biotechnol. 2015. PMID: 25432674 Review.
Cited by
-
Flux analysis uncovers key role of functional redundancy in formaldehyde metabolism.PLoS Biol. 2005 Feb;3(2):e16. doi: 10.1371/journal.pbio.0030016. Epub 2005 Jan 4. PLoS Biol. 2005. PMID: 15660163 Free PMC article.
-
Designing and Engineering Methylorubrum extorquens AM1 for Itaconic Acid Production.Front Microbiol. 2019 May 9;10:1027. doi: 10.3389/fmicb.2019.01027. eCollection 2019. Front Microbiol. 2019. PMID: 31143170 Free PMC article.
-
Computational tools for metabolic engineering.Metab Eng. 2012 May;14(3):270-80. doi: 10.1016/j.ymben.2012.03.001. Metab Eng. 2012. PMID: 22629572 Free PMC article. Review.
-
The ability of flux balance analysis to predict evolution of central metabolism scales with the initial distance to the optimum.PLoS Comput Biol. 2013;9(6):e1003091. doi: 10.1371/journal.pcbi.1003091. Epub 2013 Jun 20. PLoS Comput Biol. 2013. PMID: 23818838 Free PMC article.
-
OptStrain: a computational framework for redesign of microbial production systems.Genome Res. 2004 Nov;14(11):2367-76. doi: 10.1101/gr.2872004. Genome Res. 2004. PMID: 15520298 Free PMC article.
Publication types
MeSH terms
Substances
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources